| 结合分水岭算法和WKFCM算法的MRI图像分割 |
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| 引用本文： | 陈锟,刘金清. 结合分水岭算法和WKFCM算法的MRI图像分割[J]. 电子测量与仪器学报, 2011, 25(6): 516-521. DOI: 10.3724/SP.J.1187.2011.00516 |
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| 作者姓名： | 陈锟 刘金清 |
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| 作者单位： | 福建师范大学物理与光电信息科技学院福建省光子技术重点实验室; |
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| 基金项目： | 福建省自然科学基金(编号:2010J01327)资助项目 |
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| 摘 要： | 针对传统分水岭算法对MRI图像过分割的缺点,提出了一种基于分水岭算法和改进核聚类算法的MRI图像分割新方法.首先,通过传统的分水岭分割算法将MRI图像分割成不同的区域,然后根据改进的核聚类算法,利用Mercer核将各个区域的平均灰度值映射到高维特征空间,使得原来未显示出来的特征显现出来.这样就可以实现更准确的聚类,用灰...
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| 关 键 词： | 分水岭算法 平均灰度值 Mercer核 改进的核聚类算法 MRI图像分割 |
MRI image segmentation based on watershed algorithm and WKFCM algorithm |
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| Chen Kun,Liu Jinqing. MRI image segmentation based on watershed algorithm and WKFCM algorithm[J]. Journal of Electronic Measurement and Instrument, 2011, 25(6): 516-521. DOI: 10.3724/SP.J.1187.2011.00516 |
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| Authors: | Chen Kun Liu Jinqing |
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| Affiliation: | Chen Kun Liu Jinqing (School of Physics and Optoelectronics Technology,Fujian Normal University Fujian Provincial Key Laboratory for Photonics Tech-nology,Fuzhou 350007,China) |
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| Abstract: | Aimed at the disadvantage of over-segmentation that traditional watershed algorithm segmented MRI images,a novel method of MRI image segmentation based on watershed algorithm and improved KFCM(Kernel Fuzzy C-Means) algorithm was presented.First,through traditional watershed segmentation algorithm,the MRI image is segmented into different areas,and then according to the improved core clustering algorithm,using Mercer core to map average gray value of each area to high-dimension feature space,making originall... |
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| Keywords: | watershed algorithm average gray value Mercer core improved KFCM algorithm MRI image segmentation |
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